In a matter of months, this word, blockchain, has gone viral on trading floors and in the executive suites of banks and brokerages on both sides of the Atlantic. You can’t attend a finance conference these days without hearing it mentioned on a panel or at a reception or even in the loo. At a recent blockchain confab in London’s hip East End, the host asked if there were any bankers in the room. More than half the audience members, all dressed in suits, raised their hands. ... Now, everyone’s trying to figure out whether the blockchain is just so much hype or if Masters’s firm and other startups are really going to change the systems that process trillions of dollars in securities trades. When investors buy and sell syndicated loans or derivatives or move money around the world, they must cope with opaque and clunky back-office processes that rely on negotiated contracts between buyers and sellers, lots of phone calls, lots of lawyers, and even the occasional fax. It still takes almost 20 days, on average, to settle syndicated loan trades. ... A June report backed by Santander InnoVentures, the Spanish bank’s fintech investment fund, estimated the blockchain could save lenders up to $20 billion annually in settlement, regulatory, and cross-border payment costs. ... Venture capitalists plowed $400 million into dozens of digital currency startups in the first six months of this year, a fourfold jump from all of 2013, according to industry news site CoinDesk.
Ten years ago, high tech observers complained that the nation didn’t have enough bold innovators. There were, of course, wildly profitable high tech firms, but they rarely took creative risks and mostly just mimicked Silicon Valley: Baidu was a replica of Google, Tencent a copy of Yahoo, JD a version of Amazon. Young Chinese coders had programming chops that were second to none, but they lacked the drive of a Mark Zuckerberg or Steve Jobs. The West Coast mantra—fail fast, fail often, the better to find a hit product—seemed alien, even dangerous, to youths schooled in an educational system that focused on rote memorization and punished mistakes. Graduates craved jobs at big, solid firms. The goal was stability: Urban China had only recently emerged from decades of poverty, and much of the countryside was still waiting its turn to do so. Better to keep your head down and stay safe. ... That attitude is vanishing now. It’s been swept aside by a surge in prosperity, bringing with it a new level of confidence and boldness in the country’s young urban techies. ... higher education soared sevenfold: 7 million graduated college this year. The result is a generation both creative and comfortable with risk-taking. ... Anyone with a promising idea and some experience can find money. Venture capitalists pumped a record $15.5 billion into Chinese startups last year, so entrepreneurs are being showered in funding, as well as crucial advice and mentoring from millionaire angels. ... Even the Chinese government—which has a wary attitude toward online expression and runs a vast digital censorship apparatus—has launched a $6.5 billion fund for startups.
He bounces from smart locks, to smart lights, to a smart shower, to smart shoe insoles. It almost backfires when a Samsung representative demonstrating a smart refrigerator reaches out and flips his badge back over, asking, “What are you, press?” But his name doesn’t mean anything to her, and Pichai just casts an amused sideways glance and dives in with questions. “So, what can I ask the fridge?” he wants to know. Various versions of this same scene play out again and again. ... With $74.5 billion in annual revenue last year, Google is by far the largest (and only profitable) business under Alphabet. Indeed, Google has seven different products that more than a billion people use: Search, Gmail, YouTube, Android, Chrome, Maps, and its app and media vending machine, the Google Play Store. ... Google is sprinting to attract its “next billion” users. For the most part, these are people in the developing world; people who will go online, for the very first time, using one of Google’s Android-powered handsets. Which puts Google in the position of being seen as both a corporate NSA and modern East India Company. ... Android was, very literally, made for this moment. Its entire point is to be customized, reconfigured, and personalized for a world full of people across a range of sizes, shapes, configurations, and price points. Sure, signs for the $550 Nexus abound, but you can also score a cheap Android phone in Delhi, like a Lava Atom X, for less than $40 — and that’s without a contract. It will, Pichai thinks, change the status quo not just in India, but the entire world.
Since its release seven years ago, Minecraft has become a global sensation, captivating a generation of children. There are over 100 million registered players, and it’s now the third-best-selling video game in history, after Tetris and Wii Sports. In 2014, Microsoft bought Minecraft — and Mojang, the Swedish game studio behind it — for $2.5 billion. ... There have been blockbuster games before, of course. But as Jordan’s experience suggests — and as parents peering over their children’s shoulders sense — Minecraft is a different sort of phenomenon. ... For one thing, it doesn’t really feel like a game. It’s more like a destination, a technical tool, a cultural scene, or all three put together: a place where kids engineer complex machines, shoot videos of their escapades that they post on YouTube, make art and set up servers, online versions of the game where they can hang out with friends. It’s a world of trial and error and constant discovery, stuffed with byzantine secrets, obscure text commands and hidden recipes. And it runs completely counter to most modern computing trends. ... Minecraft culture is a throwback to the heady early days of the digital age. In the late ’70s and ’80s, the arrival of personal computers like the Commodore 64 gave rise to the first generation of kids fluent in computation. They learned to program in Basic, to write software that they swapped excitedly with their peers. It was a playful renaissance that eerily parallels the embrace of Minecraft by today’s youth. ... Today it costs $27 and sells 10,000 copies a day. (It’s still popular across all age groups; according to Microsoft, the average player is between 28 and 29, and women make up nearly 40 percent of all players.)
The so-called cognitive revolution started small, but as computers became standard equipment in psychology labs across the country, it gained broader acceptance. By the late 1970s, cognitive psychology had overthrown behaviorism, and with the new regime came a whole new language for talking about mental life. Psychologists began describing thoughts as programs, ordinary people talked about storing facts away in their memory banks, and business gurus fretted about the limits of mental bandwidth and processing power in the modern workplace. ... This story has repeated itself again and again. As the digital revolution wormed its way into every part of our lives, it also seeped into our language and our deep, basic theories about how things work. Technology always does this. During the Enlightenment, Newton and Descartes inspired people to think of the universe as an elaborate clock. In the industrial age, it was a machine with pistons. (Freud’s idea of psychodynamics borrowed from the thermodynamics of steam engines.) Now it’s a computer. Which is, when you think about it, a fundamentally empowering idea. Because if the world is a computer, then the world can be coded. ... Code is logical. Code is hackable. Code is destiny. These are the central tenets (and self-fulfilling prophecies) of life in the digital age. ... In this world, the ability to write code has become not just a desirable skill but a language that grants insider status to those who speak it. They have access to what in a more mechanical age would have been called the levers of power. ... whether you like this state of affairs or hate it—whether you’re a member of the coding elite or someone who barely feels competent to futz with the settings on your phone—don’t get used to it. Our machines are starting to speak a different language now, one that even the best coders can’t fully understand.
2015 was, by all accounts, not a great year for GoPro. The company, famous for wearable cameras targeted toward surfers, mountain climbers, and anyone else living on the edge, shipped more cameras than ever, but its revenue dropped 31 percent between the fourth quarters of 2014 and 2015. ... Over the last three years, GoPro has been building a software team from scratch, cobbling together acquisitions and a few key hires into what is now a 100-plus employee division that makes up about one-tenth of the company. Woodman acknowledges that the trend of middling sales figures will likely hold until GoPro releases a set of new devices at the end of this year, including the Hero 5, GoPro’s first drone, and a spherical camera made for general consumers. Meanwhile the new software team, and what it’s building, will herald in a new era at the company, inspire investors, and eventually attract new customers. ... In the last four months, GoPro bought, rebranded, and relaunched two powerful mobile editing apps called Replay and Splice — opening up GoPro to users who don’t own any of its cameras. And in the second half of 2016, GoPro will release a desktop editing experience that will rival iMovie and a cloud backend that will tie everything — devices, files, and the overall GoPro experience — together into a single ecosystem. ... Woodman is clear-eyed on the fact that the hardware-first chapter of GoPro is coming to an end. Cameras will still be important, because Woodman believes that vertical integration gives GoPro an advantage over software-focused competitors. ... "We’ve sold a great promise to people but we haven’t followed through on it…. We solved the capture side of it, but then we sort of left them hanging with the whole hassle of the post-production."
Comcast has installed tens of millions of cable boxes, Wi-Fi routers, and other hardware in American homes over the years. These devices have been forgettable at best. Stirling hopes that’s about to change. Later this year, the company will begin rolling out a family of slimmed-down internet, TV, and home-security gadgets. The devices are designed according to a radical concept that’s largely gone untested in more than a half-century of cable-TV history—that hardware doesn’t have to be hideous. ... The new devices are designed to work in concert with X1—the software at the heart of Comcast’s strategy to keep its 22.4 million cable subscribers from cutting the cord and defecting to Netflix, Hulu, and Amazon. Think of X1 as the company’s own Android or iOS—a technological platform upon which an empire of software, hardware, and services can be built. ... Instead of just throwing every channel into a linear grid accessed by clicking up and down with a remote, X1 aggregates programming from hundreds of TV networks and online sources and arranges everything by genre. ... Unlike most cable companies, Comcast has actually been gaining TV subscribers.
Many companies already have the ability to run keyword searches of employees’ emails, looking for worrisome words and phrases like embezzle and I loathe this job. But the Stroz Friedberg software, called Scout, aspires to go a giant step further, detecting indirectly, through unconscious syntactic and grammatical clues, workers’ anger, financial or personal stress, and other tip-offs that an employee might be about to lose it. ... To measure employees’ disgruntlement, for instance, it uses an algorithm based on linguistic tells found to connote feelings of victimization, anger, and blame. ... It’s not illegal to be disgruntled. But today’s frustrated worker could engineer tomorrow’s hundred-million-dollar data breach. Scout is being marketed as a cutting-edge weapon in the growing arsenal that helps corporations combat “insider threat,” the phenomenon of employees going bad. Workers who commit fraud or embezzlement are one example, but so are “bad leavers”—employees or contractors who, when they depart, steal intellectual property or other confidential data, sabotage the information technology system, or threaten to do so unless they’re paid off. Workplace violence is a growing concern too. ... Though companies have long been arming themselves against cyberattack by external hackers, often presumed to come from distant lands like Russia and China, they’re increasingly realizing that many assaults are launched from within—by, say, the quiet guy down the hall whose contract wasn’t renewed.
Even before all of Fuhu's money disappeared, Mitchell was having a doozy of a month. Three weeks before, he and his co-founder, Robb Fujioka--Fuhu's mastermind and headstrong president--had been contacted by attorneys representing the company's primary manufacturer, Foxconn. The Chinese giant was more than just a vendor. It was an investor and patron that had been instrumental in launching Fuhu on its meteoric rise. With gross revenue of $196 million and a three-year growth rate of 158,957 percent ... But behind the scenes, the company was falling apart. In recent months, it had racked up unpaid bills from just about everyone it did business with. And Foxconn--to which Fuhu owed between $60 million and $110 million, depending on who was counting--had finally reached its breaking point. The lawyers told Fujioka and Mitchell that until they paid their tab, their company would be cut off. ... The consequences of losing their supplier were laid out in a thick stack of a Tennenbaum loan agreement that the Fuhu bosses had never bothered to read. ... The rise and fall of Fuhu is a cautionary tale about the seductions of early success and the overconfidence it can breed. But most of all, it's the story of two entrepreneurs who pushed too hard to go big--one whose personal drive led him to take oversize risks against the advice of those around him, and one who failed to stop him.
Harris is the closest thing Silicon Valley has to a conscience. As the co‑founder of Time Well Spent, an advocacy group, he is trying to bring moral integrity to software design: essentially, to persuade the tech world to help us disengage more easily from its devices. ... While some blame our collective tech addiction on personal failings, like weak willpower, Harris points a finger at the software itself. That itch to glance at our phone is a natural reaction to apps and websites engineered to get us scrolling as frequently as possible. The attention economy, which showers profits on companies that seize our focus, has kicked off what Harris calls a “race to the bottom of the brain stem.” ... we’ve lost control of our relationship with technology because technology has become better at controlling us. ... He studied computer science at Stanford while interning at Apple, then embarked on a master’s degree at Stanford, where he joined the Persuasive Technology Lab. Run by the experimental psychologist B. J. Fogg, the lab has earned a cultlike following among entrepreneurs hoping to master Fogg’s principles of “behavior design”—a euphemism for what sometimes amounts to building software that nudges us toward the habits a company seeks to instill. ... Sites foster a sort of distracted lingering partly by lumping multiple services together.
The most remarkable thing about neural nets is that no human being has programmed a computer to perform any of the stunts described above. In fact, no human could. Programmers have, rather, fed the computer a learning algorithm, exposed it to terabytes of data—hundreds of thousands of images or years’ worth of speech samples—to train it, and have then allowed the computer to figure out for itself how to recognize the desired objects, words, or sentences. ... Neural nets aren’t new. The concept dates back to the 1950s, and many of the key algorithmic breakthroughs occurred in the 1980s and 1990s. What’s changed is that today computer scientists have finally harnessed both the vast computational power and the enormous storehouses of data—images, video, audio, and text files strewn across the Internet—that, it turns out, are essential to making neural nets work well. ... That dramatic progress has sparked a burst of activity. Equity funding of AI-focused startups reached an all-time high last quarter of more than $1 billion, according to the CB Insights research firm. There were 121 funding rounds for such startups in the second quarter of 2016, compared with 21 in the equivalent quarter of 2011, that group says. More than $7.5 billion in total investments have been made during that stretch—with more than $6 billion of that coming since 2014. ... The hardware world is feeling the tremors. The increased computational power that is making all this possible derives not only from Moore’s law but also from the realization in the late 2000s that graphics processing units (GPUs) made by Nvidia—the powerful chips that were first designed to give gamers rich, 3D visual experiences—were 20 to 50 times more efficient than traditional central processing units (CPUs) for deep-learning computations. ... Think of deep learning as a subset of a subset. “Artificial intelligence” encompasses a vast range of technologies—like traditional logic and rules-based systems—that enable computers and robots to solve problems in ways that at least superficially resemble thinking. Within that realm is a smaller category called machine learning, which is the name for a whole toolbox of arcane but important mathematical techniques that enable computers to improve at performing tasks with experience. Finally, within machine learning is the smaller subcategory called deep learning.
- Also: FiveThirtyEight - Some Like It Bot < 5min
- Also: Vox - Venture capitalist Marc Andreessen explains how AI will change the world 5-15min
- Also: Nautilus - Moore’s Law Is About to Get Weird < 5min
- Also: Edge - AI & The Future Of Civilization < 5min
- Also: Medium - Machine Learning is Fun! Part 4: Modern Face Recognition with Deep Learning 5-15min
- Also: Rolling Stone - Inside the Artificial Intelligence Revolution: Pt. 1 5-15min
- Also: Rolling Stone - Inside the Artificial Intelligence Revolution: Pt. 2 5-15min
But a disastrous 2015—including the flubbed launch of a new camera—punctured that enthusiasm. Revenue for the first quarter of 2016 was down year over year, and a much-anticipated drone release was delayed. When Woodman arrives at the GoPro Games, the company’s stock is flirting with all-time lows, down almost 90% from its peak. ... It’s a ride that could make even the most seasoned extreme-sports enthusiast dizzy. Woodman takes a seat on an off-duty ski lift, the high Rocky Mountain sun behind him. And then he dives into his plan for reviving the company he loves. He says that a trio of new products being released this fall—including that delayed drone, called the Karma—will help win over a swarm of fresh consumers. New software will make video editing easier and content even more shareable. He is relentlessly optimistic. ... Woodman sees GoPro as a sort of mini Apple, a hardware company that is evolving into a software platform with social networking features. Its business model will even include monthly subscription fees alongside steady hardware upgrades.
The difference between the 4004 and the Skylake is the difference between computer behemoths that occupy whole basements and stylish little slabs 100,000 times more powerful that slip into a pocket. It is the difference between telephone systems operated circuit by circuit with bulky electromechanical switches and an internet that ceaselessly shuttles data packets around the world in their countless trillions. It is a difference that has changed everything from metal-bashing to foreign policy, from the booking of holidays to the designing of H-bombs. ... Moore’s law is not a law in the sense of, say, Newton’s laws of motion. But Intel, which has for decades been the leading maker of microprocessors, and the rest of the industry turned it into a self-fulfilling prophecy. ... That fulfilment was made possible largely because transistors have the unusual quality of getting better as they get smaller; a small transistor can be turned on and off with less power and at greater speeds than a larger one. ... “There’s a law about Moore’s law,” jokes Peter Lee, a vice-president at Microsoft Research: “The number of people predicting the death of Moore’s law doubles every two years.” ... making transistors smaller has no longer been making them more energy-efficient; as a result, the operating speed of high-end chips has been on a plateau since the mid-2000s ... while the benefits of making things smaller have been decreasing, the costs have been rising. This is in large part because the components are approaching a fundamental limit of smallness: the atom. ... One idea is to harness quantum mechanics to perform certain calculations much faster than any classical computer could ever hope to do. Another is to emulate biological brains, which perform impressive feats using very little energy. Yet another is to diffuse computer power rather than concentrating it, spreading the ability to calculate and communicate across an ever greater range of everyday objects in the nascent internet of things. ... in 2012 the record for maintaining a quantum superposition without the use of silicon stood at two seconds; by last year it had risen to six hours. ... For a quantum algorithm to work, the machine must be manipulated in such a way that the probability of obtaining the right answer is continually reinforced while the chances of getting a wrong answer are suppressed.
In the industries where there’s rapid productivity growth, everybody is freaked out, because what are people going to do after everything gets automated? In the other part of the economy, that second part, health care and education, people are freaked out about, "Oh my God, it’s going to eat the entire budget! It’s going to eat my personal budget. Health care and education is going to be every dollar I make as income, and it’s going to eat the national budget and drive the United States bankrupt!" And everybody in the economy is going to become either a nurse or teacher. It’s really funny, both sides of the economy get polar opposite emotional reactions. ... We are very much not present, in what we would consider to be a healthy way, in education, health care, construction, childcare, senior care. The great twist on that is that second category — that’s most of the GDP. Most of the spending is most of the GDP, and these are the areas where we have not yet been able to crack the code. ... How audacious or insane is it to think that you could bring tech to health care or education? It’s probably 50/50. ... What’s interesting is there are probably more new computer companies in the valley today than there were probably since 1982 — it’s just that the products are all these different shapes, sizes, and descriptions. ... Basically, the entire way we live today is a consequence of the invention of the automobile. Because, before that, people just never went anywhere. Therefore, everything that you travel to is a consequence of the automobile.
There was a time, a few years back, when the most sophisticated cyber-warfare tools were still developed and used exclusively by the world’s most sophisticated cyber-warfare combatants: government spy agencies, such as the ultra-secret National Security Agency and its counterparts in Israel and other developed countries and their arch-rivals in China and Russia. The surveillance and monitoring capabilities that Edward Snowden unveiled to the world in 2013 were shocking and little understood, but an ordinary citizen could at least take comfort in the belief that, if he wasn’t a criminal or a spy, it was unlikely these tools would ever be used against him. ... That was then. ... last August, came the startling confirmation from Apple itself: a genuine remote jailbreak “in the wild,” the one discovered and identified by Marczak and the Lookout researchers. To everyone’s surprise it had been out there operating secretly for years. ... By 2010 a true black market for zero days was emerging beyond the usual black market. ... In this new black market few knew exactly who the buyers were, but it was widely assumed that many were governments looking for clever new ways to spy on their own citizenry.
Then, last June, the renovation team discovered Ketra, an LED lighting startup from Austin that promised some pretty big things. ... The first was what Ketra calls “natural light”: white light sources that imperceptibly change their color and intensity throughout the day to mimic the lighting conditions outside. The second was an extreme degree of control. Ketra lights could be wirelessly grouped into zones of any number of lights that could all be separately adjusted via custom software on a wall panel, computer, or phone. The third was precision. Each Ketra bulb contained a patented sensor that measured its own color 360 times a minute to make sure the light being produced was the light being requested. Ketra was selling precisely measured, nature-approximating light, accessible throughout the massive office at the press of a button. ... who really needs them? Being all things to all people doesn’t come cheap. A single Ketra bulb costs about $100. ... before you can sell millions of dollars of high-tech lighting to some of the world’s biggest companies, you have to convince them that there is a very big problem with their light. ... At the heart of Ketra’s tech is an LED chip capable of temperature-optical feedback, which senses heat and color output in real time and adjusts itself according to that data.
For more than a decade, Wiseguy was the biggest name in ticket scalping. The company fundamentally broke Ticketmaster, using one of the first ever automated "ticket bots" to buy and flip millions of tickets between 1999 and Lowson's eventual arrest on wire fraud charges in 2010. ... The scourge of ticket bots and the immorality of the shady ticket scalpers using them is conventional wisdom that's so ingrained in the public consciousness and so politically safe that a law to ban ticket bots passed both houses of Congress unanimously late last year, in part thanks to a high-profile public relations campaign spearheaded by Hamilton creator Lin-Manuel Miranda. ... But no one actually involved in the ticket scalping industry thinks that banning bots will do much to slow down the secondary market. ... Between 2001 and 2010, the company bought and resold roughly 1.5 million tickets, amassing more than $25 million in profits overall
Whether the result of a programmer’s error or hackers working for a nation-state, data leaks are the new norm. So executives are coming to terms with the idea that it might be more economical to nip coding issues in the bud before they lead to bigger—and messier—problems down the road. ... But it’s not that simple. Too many organizations either don’t prioritize security or view it as an impediment to meeting product development and delivery deadlines. ... To Ormandy and the dozen or so ace computer crackers that make up Google’s Project Zero, there are no boundaries to their jurisdiction—anything that touches the Internet is fair game. Policing cyberspace isn’t just good for humanity. It’s good for business too.